The Use of Artificial Intelligence in Academic Writing as a Tool to Improve Text Quality

Abstract

The purpose of the article is to study the possibilities and advantages of using AI to improve the quality of academic texts, as well as to analyze the effectiveness of such tools in increasing the accuracy, logical consistency and originality of materials. To achieve the goal, such methods as analysis of scientific sources, comparison of the results of using different AI tools in academic writing, and generalization of the obtained data were used. The results of the study indicate that artificial neural networks have become a key tool for improving grammar checks of academic texts, providing in-depth analysis and the ability to take into account a variety of language constructions. Modern systems of automatic text analysis use methods for morphological, syntactic and phonetic analysis, where each level depends on the previous one. Logical-semantic analysis determines the topic and key words of the text. Natural language processing (NLP) is an important direction that allows you to analyze the text from the point of view of semantics, helps to evaluate the meaningfulness and logical sequence of the texts. Modern text analysis tools offer a wide range of functions. Programs like Voyant Tools, AntConc, and Lexos allow you to build dictionaries and discover keywords, while NLTK and SpaCy provide deeper analysis of syntax and semantics. AI tools like Grammarly and Paperpal help improve the style and grammar of texts, and ChatGPT can even generate new content. Automation allows you to quickly process large volumes of data, ensuring the objectivity of the results. Although artificial intelligence technologies can significantly improve the quality of texts by automating processes such as correcting stylistics, grammar, and establishing logical connections, they still have limitations, including accuracy of factual content and lack of deep contextual understanding. Therefore, an academic text needs to be reviewed by an expert in the relevant field to assess accuracy, objectivity, relevance and originality. The сonclusions. indicate that artificial intelligence is having a significant impact on academic writing, providing tools that promote accuracy, stylistic relevance, and facilitate the process of producing quality scholarly texts. However, the use of AI carries risks related to the possibility of excessive automation and loss of the author’s style. In order to minimize these risks, it is recommended to combine artificial intelligence tools with author control, ensuring the preservation of the uniqueness and individuality of the text.